And even if Nvidia had won that contract, the Dreamcast ultimately failed. Nvidia was close to destruction multiple times in its early years.
Nvidia would need to move on the order of 4,000,000,000 units to hit $4T in revenue, more than triple that to realize $4T in profits. Even if the average per-unit costs are 2-3x my estimated $1k, as near as I’ve been able to tell they “only” move a few million units each year for a given sku.
I am struggling to work out how these markets get so inflated, such that it pins a company’s worth to some astronomical figure (some 50x total equity, in this case) that seems wholly untethered to any material potential?
My intuition is that the absence of the rapid, generationally transformative, advances in tech and industry that were largely seen in the latter half of the 20th-century (quickly followed with smartphones and social networking), stock market investors seem content to force similar patterns onto any marginally plausible narrative that can provide the same aesthetics of growth, even if the most basic arithmetic thoroughly perforates it.
That said, I nearly went bankrupt buying a used car recently, so this is a whole lot of unqualified conjecture on my part (but not for nothing, my admittedly limited personal wealth isn’t heavily dependent on such bets).
In other words, why should it matter to me what the company's profit margin or asset base or what not is actually worth when I make money if the stock number goes up?
If you own a slice of nVidia’s shares at a current P/E of 37, after a year, they’ve earned 2.7% of the value and you still have the same stake as you did before. That’s pricing in further growth and upside in earnings from here (otherwise, you could buy US treasuries at a better price), but doesn’t seem outrageous to me.
Disclaimer: I don’t directly own any $NVDA; I do own mutual funds that own some.
A year ago both its trailing and forward P/E were higher. So the stock is relatively a bargain compared to what it was a year ago.
The price implies that revenues and profits are expected to continue to grow.
> My intuition is that the absence of the rapid, generationally transformative, advances in tech and industry that were largely seen in the latter half of the 20th-century (quickly followed with smartphones and social networking), stock market investors seem content to force similar patterns onto any marginally plausible narrative that can provide the same aesthetics of growth
I wouldn't disagree with this.
That means if we hold constant the profit earnings, if you bought the whole company at its current valuation ($4tr), it would take you 37 years to break even.
Is this reasonable? Depends on sector and growth potential. To me, this is a "fair" valuation and not overly inflated based solely on existing earnings.
We use it as a snapshot in time to check our sanity and to allow us to compare apples to oranges.
That said, you could have made the same statement about AAPL or MSFT 20-30 years ago, and you would have been dead wrong.
As someone who bought NVDA in 2016/2017 and held till now, I'm very happy with the way I applied my software knowledge to profit where I won't have to work again.
Risk taking is best done in domains where you have an edge!
As it went up, I occasionally sold some and took profit, but not much, till now.
I saw how important and productive machine learning was, and it seemed like NVDA had an excellent CUDA moat, so that was my thesis for that bet. In the last couple years I sold some and bought a house.
This is obviously a story with survivorship bias. But anyway my superpower isn't technical knowledge, its the lack of emotion and bias towards non-action when markets tumble. As you probably know, time in the market is better than timing the market.
Or 16 years at 5% inflation.
Fortunately, I opted to pivot towards ratio of total equity, the per-unit activity was a very rough attempt at moving away from abstractions, and that is obviously one of the many flaws in such an exercise.
I already noted the profit margins are incredibly unstable, so I don’t trust the reported figures where they quadrupled inside of a decade. I’m not suggesting it isn’t real, only that it isn’t possible to pin that 55% down as sustainable for any significant period of time, certainly not the 30-50 years is it would take to realize $4T of value at their current pace.
So quite lopsided. That curtails my expectations even further, as this represents a lot of initial infrastructure investments whose long-term expenditures (and viability) remain to be seen.
1. https://www.marketscreener.com/quote/stock/NVIDIA-CORPORATIO...
B300 has been installed a week or so ago. Good luck to AMD to catch up...
They make big bucks on the premium end of their chips. Those contracts are typically on the 8-figure range, I would think they easily have thousands of them around the world.
Even Jensen has implied[1] that the consumer GPU market (i.e. gaming) holds a minor share of revenue these days.
1: Citation needed, I know. I mean comments like "we are not going to abandon gamers, etc...".
That's to say nothing of all the other products and services they build. I just visited their website, clicked on "solutions" at the top, and there's waaaay more there than just desktop GPUs. And its worth noting that NVIDIA doesn't manufacture or sell any of the down-market NVIDIA-based boards.
Given NVIDIA's role in data centers, I think the 4T market cap is, while probably still somewhat inflated by speculation, not so inflated as to be a bubble ready to pop.
I also see where the reasoning here contradicts the reality. If we assume Nvidia only sells $1000 gpus and moves a few millions a year, then how did it received $137B in FY2025? In reality they don't just sell GPUs, they sell systems for AI training and inference at insane margins (I've seen 90% estimates) and also some GPUs at decent margins (30-40%). These margins may be enough to stimulate competition at some point, but so far those risks have not materialized.
That said, I would be wary about buying shares of any company tied to AI right now.
Very few people scrambling to throw money into 'AI stocks' have any idea about technology. When the music stops it's going to be ugly.
What could actually drag Nvidia down and make them spend decades in the dark like Cisco still does? So far the two things I've come up with are: (a) general disillusionment in AI and companies not being able to monetize enough to justify spending on GPUs. (b) Big companies designing their own chips in-house lowering demand for Nvidia GPUs.
I don't think Nvidia can counter (a), but can they overcome (b) by also offering custom chip design services instead of insisting on selling a proprietary AI stack?
There’s a reason why only TSMC and to a lesser extent now Samsung and Intel are the only serious players in top-end semiconductors. You can’t just buy the machine and print chips, the amount of iterative tuning and know-how required to get good yields is immense. Weirdly, the actual bottleneck seems to be the availability of what can almost be described as “master craftsmanship”. But it’s not enough either to hire a couple of masters, it’s the collective institutional knowledge built up over >50 years.
And, of course, TSMC is not worth nearly as much as NVidia either even if they manufacture all their hardware.
Exactly this, as otherwise there would be nothing stopping ASML opening up its own competing fabs next door with their cutting edge machines 12 months before they sell them to their customers for maximum profits, the same way Bitcoin ASMIC mining companies did with their chips.
Or at least some Dutch/EU company in the area doing it, but nobody else can do what TSMC does at the cutting edge. For context, EU's most cutting edge fabs will be the Dresden TSMC one at 12nm.
But also also, it most likely will for the next 10 years.
The monetary push is very LLM based. One thing being pushed that I am familiar with is LLM assisted programming. LLMs are being pushed to do other things as well. If LLMs don't improve more, or if companies don't see the monetary benefits of using them in the short/medium term, that would drag Nvidia down.
Nvidia has a lot of network effects. Probably only Google has some immunity to that (with its TPUs). I doubt Nvidia will have competition in training LLMs for a while. It is possible a competitor could start taking market share on the low end for inference, but even that would take a while. People have been talking about AMD competition for over two years, and I haven't seen anything that even seems like it might have potential yet, especially on the high end.
Also, I think the market has to expand beyond LLMs to areas like robotics and self driving cars (and they need to have real success) for Nvidia to maintain this valuation. I don't think only LLMs are enough because I don't see code assist/image generation/chatbots as a massive market.
(a) can happen, but Nvidia has some buffer. All these companies promised their shareholders huge massive gains if only they embrace the AI revolution. They will be extremely resistant to admit they can't make any money out of it and will keep the charade going for as long as they can. It won't be like a cliff, so Nvidia has time to adjust and handle it.
The market cap is nonsense though, it's just hype. I never put any real weight on them.
They would need to make more offering design services, giving away their design secrets in the process, than selling a product protected by a massive moat. This would be slaughtering the goose.
If you can present an example of someone executing this strategy as a pivot from an extremely high margin proprietary product and increasing their market cap as a result I would be very interested to read about it.
Are these companies already more valuable than the VOC at its height, when it owned entire countries? Is that where we're headed?
Billionaires aren't exactly buying more eggs when they have more cash, they're cash is competing for ownership of assets.
One scenario is that maybe a smaller NN is enough for most tasks but you have to train it in a smart way (search, creating feedback, reasoning).
It's a long shot but maybe GPUs won't be the best hardware for the job. It's a pure speculation though.
(c) NVidia isn't all about LLM, it has robotics, embedded, vision.. This is going to be huge as generic robotics hits.
It is far, far smarter to design the chips and leave the manufacturing to others who will have the expertise and take on the risk.
AMD tried, realized it was completely pointless and split off into Global Foundries. The giant Intel struggled incredibly hard with the 10nm node and has now lost significant ground because of it.
Leading edge silicon is ruthless. You can burn hundreds of billions of dollars a year trying to catch up and if your product is even slightly worse it may as well be worthless - all the cost with none of the demand.
Going into older nodes is far more forgiving, but you can't make GPUs with that.
China has some of the best technical universities in the world. Many of the names you see in the U.S. AI/ML space are Chinese — and a significant number have returned to China, seeking new opportunities. The world has changed.
By 2035, China could be on par with TSMC, or even surpass it. Once, there were Nokias and Kodaks — and like them, TSMC will eventually face real competition. Nothing is eternal. TSMC doesn't possess secret knowledge that others can't obtain or special brains that others cannot match.
China’s future security and competitive edge depend on becoming self-sufficient in advanced node production. They now have all the necessary ingredients, more than anyone before, to challenge and possibly overtake TSMC. It's only a matter of time.
If so, then why aren't we paying them 30% of our revenue like in the AppStore?
If so, the total addressable market of Nvidia might be pretty big.
Let's take the human body as a point of reference. The weight of the human brain makes up about 2% of the human body.
Earth weighs in at about 10^25 kg. 2% of that is about 10^22 kg.
All computer hardware on planet Earth weighs what? Maybe a billion computers times 10 kg? That would be 10^10 kg.
So we still would have to up that by a factor of 10^12.
Still 99.99999999% of the way to go.
This is a technology that will reach 90% usage for almost everything people do, so there is still so much more growth to go.
Edit: scrolling through the entries in the Wikipedia page here (https://en.wikipedia.org/wiki/List_of_public_corporations_by...), it seems likely that this is the highest valuation in real terms (ie, adjusted for inflation)
chubot•5h ago
i.e. maybe you need “two hits” to become this big, separated by ~2 decades
For nvidia, it was graphics and then programmable GPUs (CUDA)
For Apple, it was GUI desktops and music players/phones
Google is up there, but I’d argue it’s closer to “one hit”, and limited by the founders stepping back and turning the company into an investment conglomerate, rather than being mission-based
When the founders leave, efficiency and creativity seem to be slowed by competing factions of upper management, often working at cross purposes
I’d say that in the best cases, institutional knowledge can build over 2 decades, but it’s also very possible to lose it
floxy•5h ago
xrendan•4h ago
Microsoft - Programming Language (1975), Operating Systems (1981), Office Suite (1983)
Meta - Facebook (2004), Instagram (2010)
I would argue microsoft is unique because of how badly IBM screwed up.
0xcafefood•4h ago
jahsome•4h ago
EEE and owning the soul of every customer
Facebook and cool zuck
nativeit•4h ago
bayarearefugee•5h ago
I'm not suggesting this is all luck, Nvidia has executed very well and their early investments in programmable GPUs really paid off as a result, but a lot of their insane valuation now is due to crypto and then LLMs which are basically two back to back once in lifetime goldrushes where Nvidia happened to be the best positioned shovel seller.
You can run a company well to prepare to ride such a wave should it appear, but you've also got to be born with horseshoes up your ass for this to work out as well as it has for Nvidia
hn_throwaway_99•4h ago
I find this pretty crazy given that (at least for now) NVidia is the most successful startup of all time. Imagine the millions of other entrepreneurs, many of whom worked just as hard, who completely failed in the process.
SeanAnderson•3h ago
Imustaskforhelp•3h ago
I recently read in the https://news.ycombinator.com/item?id=44495428 (it is absolutely good article) and the first comment there which I wanted to paste here is:-
It's so, so , so hard to walk the line between persistence (which leads to glory) and stubbornness (which leads to more time following already wasted time.)
-Bruce_511 (HN)
So sure preparation meets opportunity but don't be stubborn just cause you feel like you are prepared.
Work hard but honestly, if you walk the line like bruce said (then persistence will result in you doing the hard work too tbh that's my philosophy right now)
So Everybody just need to figure out this line b/w stubborness and persistance especially in the startup world. But I think we need a book written on this topic tbh, any suggestions anybody?
FirmwareBurner•2h ago
Not random, but always in the places where the big and easy to get money is. You're not gonna get much VC funding in Botswana or Bangladesh no matter how good your idea is and how smart you are.
That's why so many sacrifice everything to go live in the bay area even if it's an overpriced shithole full of homeless, drug addicts and feces.
Mars008•2h ago
Nifty3929•1h ago
dachworker•5h ago
LarsDu88•4h ago
The market for compute is endless, and Nvidia makes huge efforts to commoditize the software side of things so people can buy hardware.
basch•1h ago